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3D Time of Flight Rapid Prototyping Platform

The 3D Imaging Time of Flight (ToF) system is designed to give users flexibility in applying the system in various use cases for technology evaluation and rapid prototyping for both hardware design and software development. Built on industry standard 96Boards mezzanine specification it gives a small form factor that can be easily built into proof of concepts. Depending on customer preferences and development experience, different 96Boards processor boards can be used for overall system evaluation and custom development. Experienced 3rd Parties are also provided to help customize the design to individual needs.

The 3D ToF system will operate across industrial operating specifications. Objects up to 6m in distance can be detected, and the system comes with easy to use software stack to ensure optimal operation in the target environment. Laser operation complies with Class 1 safety operating requirements and the default operating frequency will be 940nm for improved use in challenging lighting conditions both indoor and outdoor.

The system has options of USB, Ethernet or Wi-Fi to connect to a host computer, this flexibility enables evaluation across a wide range of use cases and environments. Sampling rates of up to 30fps are supported. Data is fed from the CCD Sensor to the DragonBoard 410c over MIPI-CSI interface. This data is read using V4L2 capture driver and in-turn either feeds it to native SDK or sends it to the Host SDK over Ethernet, WiFi and USB interfaces. Native/Host SDK provides this data to user applications for further use. For ease of application, the SDK also provides OpenCV, python and MATLAB wrappers such that developers can simply use these wrappers to develop application.

For more information and how to buy the system please goto the Analog Devices AD-96TOF1-EBZ Product page


Application Development

SDK Architecture

The 3D ToF Rapid Prototyping Platform supports a wide range of operating systems and programming languages. An open- source SDK that accompanies the hardware platform enables you to extract depth data from the camera on the processor and operating system of your choice. Windows and Linux support are built into the SDK as well as sample code and wrappers for various languages including Python, C/C++ and Matlab. The SDK also integrates with 3rd party technologies like OpenCV and ROS.


Hardware Platform

Designed using a modular approach, the 3D ToF hardware prototyping platform enables connectivity to the 96Boards development boards suite. There is also a Raspberry PI camera connector that allows it to connect to any compatible system. Data is fed from the 3D camera to the host processor via 2 lane MIPI-CSI interface at frame rates up to 30fps. The system has full software support for data processing on the embedded processor platform as well as for USB, Ethernet or Wi-Fi to connect to a host computer, this flexibility enables evaluation across a wide range of use cases and environments.

Range
Near: 20cm to 80cm
Medium: 80cm to 3m
Far: 3m to 6m
Accuracy: < 2.5% for all ranges
Performance
Frame Rate: upto 30fps dependent on processor board, OS and interface to host computer
Resolution: 640 x 480 pixels
Operating Temperature: -20⁰C to 85⁰C
Optics
Laser: 940nm VCSEL with 110⁰ x 85⁰ batwing profile diffuser
Receive lens FoV: 90⁰ x 69.2⁰
Connectivity
96Board mezzanine high speed and low speed expansion connector compatibility
Raspberry Pi camera connector to connect to any compatible processor board
Power
5V DC Input
20W max power consumption

Hardware Block Diagrams

Laser Safety

This device complies with International Standards IEC 60825-1:2014 & 2007 for a Class 1 laser product. This device also complies with 21 CFR 1040.10 and 1040.11 except for deviations pursuant to Laser Notice No. 50, dated June 24, 2007. Only use Software and Firmware updates that are specifically provided for this solution.

Laser Certification Report


Videos


Help and Support

For questions and more information please contact us on the Analog Devices Engineer Zone.


resources/eval/user-guides/ad-96tof1-ebz.1570004130.txt.gz · Last modified: 02 Oct 2019 10:15 by Andrei Cozma